Manuscripts

Recent Papers

Research Paper

Trends and application in data mining

In our day to day life, many Terabytes of data are generated by various organizations around the world, as data has been increasing each day in Tremendous amount there is a need for some tools and techniques which may be used and hence help humans to analyze large data repositories and gain some useful information. This need which keeps on increasing on daily basis gives rise to an area known as Data Mining or Knowledge Discovery of Databases. The main aim of Data Mining is to extract some useful unknown patterns or knowledge or information from the vast amount of data repositories. In this automated world, many organization uses Data Mining as it enhances various fields of human life including education, agriculture, business, etc. using Artificial Intelligence, Machine Learning, Pattern Recognition, and various data visualization techniques. This paper discusses and describes Data Mining and how data mining is performed for Retail Industries, the paper also describes how data mining can be used for Fraud Detection.

Published by: Manish Choudhary, Sagar Patil, Mehar Singh

Author: Manish Choudhary

Paper ID: V7I2-1295

Paper Status: published

Published: April 5, 2021

Full Details
Research Paper

Effect of neem treatment on the total sugar content of mango midge fly

Neem was proved to be an eco-friendly & best insecticide. Neem components show multiple effects against different insects. In the present work, neem leaves were used for the gall treatment. The total sugar content of mango midge larvae was determined in this investigation. After 24hrs of treatment larval sugar was found to be decreased significantly (p>0.01). After 48hrs and 72hrs, it showed a moderately significant (p>0.05) decrease. After 72hrs,7days, and 15 days this decrease was more significant (0.001).

Published by: Pallavi Kohirkar

Author: Pallavi Kohirkar

Paper ID: V7I2-1225

Paper Status: published

Published: April 1, 2021

Full Details
Research Paper

Effectiveness of study skills on academic performance among nursing students

Study habits are the most important predictor of academic performance and global research has revealed that study habits affect academic performance. In this regard, Nursing students are faced with a large amount of information that is difficult to organize and learn, which requires not only knowledge but also the application of study skills. The main objective of the study was to evaluate the effectiveness of study skills on academic performance among nursing students. A pre-experimental research approach, group pre-test, and post-test research design were adopted. The data was collected from 78 students of I year B.Sc Nursing (2019 batch) of PSG College of Nursing, Coimbatore. The tool comprised of Demographic variables, VARK Questionnaire (version 7.8), and Study skills questionnaire. Assessment of Learning styles indicates that in total, 58 students (76%) preferred only one learning style (single modal), and 18 students preferred to use multiple learning styles (multimodal). The statistical student's test was computed between pre-test and post-test mean scores of Academic performance. The calculated was 35.93, which was greater than the tabulated value (3.195) at p<0.001 level. The results clearly stated that there was an improvement in academic performance of first-year B.Sc. Nursing students after the understanding of study habits.

Published by: Leena J., Reena RCJ, Dr. A. Jayasudha, Hema D., Jenifer Gracy M., Keerthana B., Abishak R., Blessy M.

Author: Leena J.

Paper ID: V7I2-1276

Paper Status: published

Published: April 1, 2021

Full Details
Research Paper

Sensitivity analysis of water footprint in paddy

Water is an incredibly important aspect of our daily lives. Water footprint assessment is a fast-growing field of research, but as yet little attention has been paid to the uncertainties involved. The study investigates the sensitivity analysis of water footprint conducted in Samrakalwana village near Allahabad, UP, India. Water footprint was calculated for the Paddy crop and factors that influence the water footprint are identified. Sensitivity analysis was done for the parameters influencing water footprint with the One-at-a-time method (OAT), for parameters like reference evapotranspiration (ET0), Crop Coefficients (Kc), Precipitation (PR), Crop planting date, Field capacity of soil moisture (Smax), and Yield(Y). The results show that the water footprint of Paddy is 3384.701l/kg. The parameters like ETo, Kc, PR, and Smax are changed within the range of ±90%, and Crop Planting Date changes within the range of ±30%, and yield is changed within the range of ±50%. The water footprint is most sensitive in ET0, Kc, PR followed by yield. Sensitivity Index Parameters have calculated and for increasing the yield of the Paddy crop certain recommendations have been explained.

Published by: Venkatahemanth Bollu, Harshavardhan Reddy M., Phani Bhushan Reddy N.

Author: Venkatahemanth Bollu

Paper ID: V7I2-1290

Paper Status: published

Published: April 1, 2021

Full Details
Case Study

Effects of chalk dust on teacher

The aim of the study is the effect of chalk dust on Teachers Health. Atmospheric pollutants like dust particles, poisonous gases cause air pollution and it affects adversely human health and creates irritation to the nose and throat, an annoyance to human eyes. Also creates other ill effects like headache, allergies, nausea, and similar effects. Chalkdust particles are one of the major problems in schools and colleges. at the time of teaching some chalk, dust particles enter into our body through inhalation process and suffer from diseases like asthma, burning eyes, conjunctivitis, and allergic respiratory or nasal diseases. Control Group ¬–Healthy Controls -100 subjects. Normal healthy age-matched males and females subject(not exposed to any occupational dust) male and female teachers-100 were considered as the subject of this study (exposed to chalk dust particles with work experience 5-30 years) Information was collected by visiting the each teacher. The study subject was interviewed and a questionnaire was filled for each subject, which included details about their age, educational qualification, and health problems such as nausea, headache, irritation, and dryness of throat, weakness, sneezing faced by them. The present study indicates that Teachers faces numerous health problems due to direct inhalation of chalk dust such as asthma, burning eyes conjunctivitis, and allergic respiratory or nasal diseases

Published by: Lokhande Rohan Shivling

Author: Lokhande Rohan Shivling

Paper ID: V7I2-1288

Paper Status: published

Published: April 1, 2021

Full Details
Others

Detection and prevention of phishing websites using web crawlers

ABSTRACT-Phishing attack is the simplest way to obtain sensitivity information from innocent users. The aim of the phishers is to acquire critical data like user name, password and bank account details. The proposed system mainly focuses on detecting and preventing the phishing websites. A Web crawler is used to detect the websites. Detected phishing sites are added to the black list. The black list contains only fake websites. Web Crawling focuses on obtaining the links of the web page. Usually, a phishing website can be easily identified by its URL by its HTML code. Here the check website page makes users to be aware of phishing website and avoid users to become victim of such attacks. This software is very helpful for users to identify and prevent the phishing websites. For this purpose, we are developing a phishing website detection system.

Published by: Poojhaa S, Narmatha M., Sowmiya R.

Author: Poojhaa S

Paper ID: V7I2-1201

Paper Status: published

Published: March 31, 2021

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X